Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "46"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 46 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 44 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 42 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 46, Node N05:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459859 digital_ok 100.00% 0.00% 100.00% 0.00% - - -0.896702 11.204995 -0.324013 9.647264 0.217824 2.762108 0.238196 1.490004 0.7218 0.0382 0.5629 nan nan
2459858 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% -0.845228 11.904860 -0.371043 9.885481 1.147652 2.842872 0.358188 2.986148 0.7324 0.0368 0.5627 2.857332 1.144282
2459857 digital_ok 100.00% 100.00% 100.00% 0.00% - - 0.077931 6.409785 -0.088711 1.419573 0.449217 4.451016 -0.824568 10.292775 0.0250 0.0239 0.0009 nan nan
2459856 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% -1.202236 18.072974 -0.655102 24.345223 -0.911342 12.072762 0.164048 4.173755 0.7251 0.0382 0.5570 3.123524 1.201149
2459855 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% -1.138634 17.636350 -1.019219 25.145012 -0.271961 4.266429 -0.111170 1.652898 0.6995 0.0379 0.5304 3.333062 1.202419
2459854 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% -1.365057 15.943695 0.148350 19.201966 -0.181286 4.290313 0.574660 4.508095 0.7273 0.0399 0.5647 3.186843 1.191723
2459853 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% -1.266896 15.771808 0.793469 26.629936 0.229348 10.824928 0.279276 4.474593 0.7451 0.0396 0.5794 3.054161 1.198064
2459852 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% -1.219745 15.761808 1.448143 27.747721 1.353071 20.008869 0.969797 16.551594 0.8381 0.0402 0.5545 5.034280 1.203312
2459851 digital_ok 100.00% 0.00% 90.23% 0.00% 100.00% 0.00% -0.870982 21.129022 1.192797 29.780782 4.611658 43.523799 4.060301 21.892980 0.7581 0.0868 0.5551 2.821282 1.102008
2459850 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.225110 18.734903 0.711988 24.792202 0.471514 19.809234 1.880198 17.586417 0.0548 0.0266 0.0271 1.192065 1.162291
2459849 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.262661 17.190111 2.304733 49.067601 1.390340 12.847575 0.733731 7.506802 0.0569 0.0268 0.0294 1.232177 1.194819
2459848 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.236915 15.210787 2.204795 31.820874 1.162715 21.791425 -0.151994 4.610982 0.0588 0.0265 0.0292 1.218008 1.184295
2459847 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.129775 17.659107 2.545284 29.996529 0.295472 28.460301 0.041629 1.790526 0.0469 0.0258 0.0168 1.211197 1.181267
2459846 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.712469 26.363011 2.032376 35.009523 2.013114 20.882197 -0.302327 5.104684 0.0591 0.0268 0.0350 1.193450 1.153493
2459845 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% -0.888199 19.570064 2.924736 41.149453 0.211475 16.516572 -0.075566 2.004190 0.7557 0.0470 0.6182 8.207091 1.245983
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - 2.309659 15.443402 0.568554 6.913147 1.018883 4.913375 -0.654799 13.450994 0.0247 0.0238 0.0009 nan nan
2459843 digital_ok 100.00% 0.66% 100.00% 0.00% 100.00% 0.00% -1.563119 19.135496 -0.149899 20.259934 0.087452 71.034518 0.203346 0.814512 0.7553 0.0394 0.5959 4.436371 1.288283
2459840 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.876741 -0.493142 -0.538075 -0.902363 -0.615874 0.731730 -0.895027 0.997842 0.0233 0.0239 0.0009 nan nan
2459839 digital_ok 0.00% - - - - - -0.955873 -0.781584 -1.185916 -1.325418 -1.176652 -0.790419 -1.439898 0.650643 nan nan nan nan nan
2459838 digital_ok 0.00% 0.00% 0.00% 0.00% 0.61% 0.00% -1.276581 0.088040 0.454769 -0.762581 2.203311 0.032051 -0.547845 0.028656 0.7152 0.6672 0.4358 1.339856 1.292584
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0306 0.0321 0.0009 nan nan
2459835 digital_ok 100.00% 100.00% 100.00% 0.00% - - 0.313467 -0.428325 2.516889 0.342344 5.007060 4.531111 14.333239 12.636050 0.0303 0.0321 0.0004 nan nan
2459833 digital_ok 0.00% 100.00% 100.00% 0.00% - - 2.814239 1.002133 1.193880 0.521403 3.872214 2.125633 1.535357 1.933363 0.0261 0.0282 0.0029 nan nan
2459832 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 2.63% -1.703101 -0.893510 0.230529 -0.874099 0.782583 -0.738320 0.409430 1.586476 0.8130 0.4923 0.6171 1.680040 1.400917
2459831 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.683280 1.481289 -1.223331 -0.492849 -1.289860 -0.257010 -0.959564 0.373274 0.0252 0.0314 0.0040 nan nan
2459830 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.401906 -0.678747 0.032536 -0.702498 0.328524 -0.080738 -0.046774 2.756697 0.8014 0.4777 0.6195 1.102546 0.847903
2459829 digital_ok 0.00% 0.00% 0.00% 0.00% 92.16% 7.19% -1.510065 -0.108924 -0.572812 -0.673325 1.337229 -0.698660 0.693861 0.704559 0.7330 0.6243 0.4574 -0.000000 -0.000000
2459828 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.086278 -0.261767 -0.309252 -0.413490 0.098044 0.300081 0.680272 6.783467 0.7976 0.4971 0.5939 2.802278 2.032128
2459827 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.914365 0.398593 0.233326 -0.782904 -0.778107 -0.777720 -0.211314 4.571148 0.7417 0.6323 0.4611 5.554254 5.356632
2459826 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 2.63% -1.082649 -0.721218 0.896764 -0.735209 -0.491848 -1.105421 -0.010786 -0.309709 0.7914 0.5164 0.5667 0.786214 0.523758
2459825 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.217380 -0.917545 0.353717 -0.531880 -1.166669 -0.889093 -0.333100 -0.242950 0.7891 0.5142 0.5767 1.335047 1.037340
2459824 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.147826 -0.021683 0.350038 -0.829884 -0.357787 -0.324386 -0.154327 1.250523 0.6686 0.6724 0.4241 -0.007247 -0.007905
2459823 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.078677 -0.858797 0.082972 -0.542656 -0.305754 -0.600263 -0.115259 14.841478 0.7318 0.5813 0.5219 3.143487 3.045796
2459822 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.940806 -0.900503 0.429026 -0.734618 -0.887032 -0.740958 -0.523008 0.265657 0.7876 0.5413 0.5701 1.477637 1.290423
2459821 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.884027 -0.222600 -0.073356 -0.949405 -0.931486 -1.267051 0.462361 -1.414038 0.7851 0.5644 0.5708 1.478142 1.409617
2459820 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.53% -1.005801 0.013202 -0.280187 -0.779893 0.634802 -1.441358 0.283762 2.259659 0.7597 0.6666 0.4432 1.545798 1.422689
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.118826 -0.606904 -0.177138 -0.859716 -1.074353 -1.763067 -0.602690 1.162018 0.8079 0.6381 0.5397 1.768016 1.589170
2459816 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.018579 0.116721 0.405575 -0.759875 -0.272423 -0.687698 -0.420665 1.931068 0.8446 0.5732 0.6164 1.569837 1.417207
2459815 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.913187 -0.471808 0.591265 -0.918381 -1.107928 -0.480856 -0.690895 3.315403 0.7974 0.6417 0.5507 1.854552 1.612947
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 46: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Shape 11.204995 -0.896702 11.204995 -0.324013 9.647264 0.217824 2.762108 0.238196 1.490004

Antenna 46: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Shape 11.904860 11.904860 -0.845228 9.885481 -0.371043 2.842872 1.147652 2.986148 0.358188

Antenna 46: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 10.292775 6.409785 0.077931 1.419573 -0.088711 4.451016 0.449217 10.292775 -0.824568

Antenna 46: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 24.345223 -1.202236 18.072974 -0.655102 24.345223 -0.911342 12.072762 0.164048 4.173755

Antenna 46: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 25.145012 17.636350 -1.138634 25.145012 -1.019219 4.266429 -0.271961 1.652898 -0.111170

Antenna 46: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 19.201966 15.943695 -1.365057 19.201966 0.148350 4.290313 -0.181286 4.508095 0.574660

Antenna 46: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 26.629936 15.771808 -1.266896 26.629936 0.793469 10.824928 0.229348 4.474593 0.279276

Antenna 46: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 27.747721 -1.219745 15.761808 1.448143 27.747721 1.353071 20.008869 0.969797 16.551594

Antenna 46: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Variability 43.523799 -0.870982 21.129022 1.192797 29.780782 4.611658 43.523799 4.060301 21.892980

Antenna 46: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 24.792202 -1.225110 18.734903 0.711988 24.792202 0.471514 19.809234 1.880198 17.586417

Antenna 46: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 49.067601 -1.262661 17.190111 2.304733 49.067601 1.390340 12.847575 0.733731 7.506802

Antenna 46: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 31.820874 15.210787 -1.236915 31.820874 2.204795 21.791425 1.162715 4.610982 -0.151994

Antenna 46: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 29.996529 17.659107 -1.129775 29.996529 2.545284 28.460301 0.295472 1.790526 0.041629

Antenna 46: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 35.009523 -1.712469 26.363011 2.032376 35.009523 2.013114 20.882197 -0.302327 5.104684

Antenna 46: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Power 41.149453 19.570064 -0.888199 41.149453 2.924736 16.516572 0.211475 2.004190 -0.075566

Antenna 46: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Shape 15.443402 2.309659 15.443402 0.568554 6.913147 1.018883 4.913375 -0.654799 13.450994

Antenna 46: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Variability 71.034518 19.135496 -1.563119 20.259934 -0.149899 71.034518 0.087452 0.814512 0.203346

Antenna 46: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 0.997842 -0.876741 -0.493142 -0.538075 -0.902363 -0.615874 0.731730 -0.895027 0.997842

Antenna 46: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 0.650643 -0.781584 -0.955873 -1.325418 -1.185916 -0.790419 -1.176652 0.650643 -1.439898

Antenna 46: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok ee Temporal Variability 2.203311 0.088040 -1.276581 -0.762581 0.454769 0.032051 2.203311 0.028656 -0.547845

Antenna 46: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok ee Temporal Discontinuties 14.333239 -0.428325 0.313467 0.342344 2.516889 4.531111 5.007060 12.636050 14.333239

Antenna 46: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok ee Temporal Variability 3.872214 1.002133 2.814239 0.521403 1.193880 2.125633 3.872214 1.933363 1.535357

Antenna 46: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 1.586476 -1.703101 -0.893510 0.230529 -0.874099 0.782583 -0.738320 0.409430 1.586476

Antenna 46: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Shape 1.481289 -0.683280 1.481289 -1.223331 -0.492849 -1.289860 -0.257010 -0.959564 0.373274

Antenna 46: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 2.756697 -1.401906 -0.678747 0.032536 -0.702498 0.328524 -0.080738 -0.046774 2.756697

Antenna 46: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok ee Temporal Variability 1.337229 -0.108924 -1.510065 -0.673325 -0.572812 -0.698660 1.337229 0.704559 0.693861

Antenna 46: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 6.783467 -0.261767 -1.086278 -0.413490 -0.309252 0.300081 0.098044 6.783467 0.680272

Antenna 46: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 4.571148 -0.914365 0.398593 0.233326 -0.782904 -0.778107 -0.777720 -0.211314 4.571148

Antenna 46: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok ee Power 0.896764 -0.721218 -1.082649 -0.735209 0.896764 -1.105421 -0.491848 -0.309709 -0.010786

Antenna 46: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok ee Power 0.353717 -0.917545 -1.217380 -0.531880 0.353717 -0.889093 -1.166669 -0.242950 -0.333100

Antenna 46: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 1.250523 -1.147826 -0.021683 0.350038 -0.829884 -0.357787 -0.324386 -0.154327 1.250523

Antenna 46: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 14.841478 -0.858797 -1.078677 -0.542656 0.082972 -0.600263 -0.305754 14.841478 -0.115259

Antenna 46: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok ee Power 0.429026 -0.940806 -0.900503 0.429026 -0.734618 -0.887032 -0.740958 -0.523008 0.265657

Antenna 46: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok ee Temporal Discontinuties 0.462361 -0.222600 -0.884027 -0.949405 -0.073356 -1.267051 -0.931486 -1.414038 0.462361

Antenna 46: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 2.259659 -1.005801 0.013202 -0.280187 -0.779893 0.634802 -1.441358 0.283762 2.259659

Antenna 46: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 1.162018 -1.118826 -0.606904 -0.177138 -0.859716 -1.074353 -1.763067 -0.602690 1.162018

Antenna 46: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 1.931068 0.116721 -1.018579 -0.759875 0.405575 -0.687698 -0.272423 1.931068 -0.420665

Antenna 46: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Temporal Discontinuties 3.315403 -0.471808 -0.913187 -0.918381 0.591265 -0.480856 -1.107928 3.315403 -0.690895

Antenna 46: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 46: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
46 N05 digital_ok nn Shape nan nan nan inf inf nan nan nan nan
In [ ]: